Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
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Versatile Diffusion: Text, Images and Variations All in One Diffusion Model, arXiv 2022 / ICCV 2023
Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregress...
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
InstaFlow! One-Step Stable Diffusion with Rectified Flow (ICLR 2024)
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics (NeurIPS '22)
Code for Variational AutoEncoder(VAE) using tensorflow
This is the source code for our paper "Towards high-accuracy deep learning inference of compressi...
A framework based on Tensorflow for running variational Monte-Carlo simulations of quantum many-b...
pytorch implementation for "Deep Flow-Guided Video Inpainting"(CVPR'19)
A differentiable PDE solving framework for machine learning
VolSiM, a CNN-based metric to compute the similarity of 3D data from numerical simulations
Talk for SciPy2015 "Deep Learning: Tips From The Road"
ECCV2022 - Real-Time Intermediate Flow Estimation for Video Frame Interpolation